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Alternatives

Products that do what Volume Shader BM (Benchmark) does

Real-time GPU performance benchmark online

  1. 1

    Gpu benchmark testing tool

    Sep 2025

  2. 2

    Gpu benchmark test tool

    Dec 2025 · volume-shader.net

  3. 3

    Volume Shader - The Ultimate 3D GPU Benchmark & Stress Test

    Jan 2026 · volumeshader.pro

  4. 4CW

    Creator here. I built ChartGPU because I kept hitting the same wall: charting libraries that claim to be "fast" but choke past 100K data points. The core insight: Canvas2D is fundamentally CPU-bound. Even WebGL chart libraries still do most computation on the CPU. So I moved everything to the GPU via WebGPU: - LTTB downsampling runs as a compute shader - Hit-testing for tooltips/hover is GPU-accelerated - Rendering uses instanced draws (one draw call per series) The result: 1M points at 60fps with smooth zoom/pan. Live demo:…

    Jan 2026 · github.com

  5. 5

    Real-time GPU shader editor for spatial computing

    2024

  6. 6SS

    Hi HN, we are Ed, Zach, and Ronald, creators of Shadeform (https://www.shadeform.ai/), a GPU marketplace to see live availability and prices across the GPU market, as well as to deploy and reserve on-demand instances. We have aggregated 8+ GPU providers into a single platform and API, so you can easily provision instances like A100s and H100s where they are available. From our experience working at AWS and Azure, we believe that cloud could evolve from all-encompassing hyperscalers (AWS, Azure, GCP) to specialized clouds for high-performance use cases. After the launch of…

    2023 · shadeform.ai

  7. 7SA
  8. 8RT

    2023 · antimatter15.com

  9. 9

    Test your GPU performance instantly in your browser

    Apr 2026 · devicexa.com

  10. 10AR

    I’ve been experimenting with Rust lately and wanted a project that would help me explore some of its lower-level and performance-oriented features. Inspired by Sebastian Lague’s videos, I decided to implement my own ray tracer from scratch. The initial goal was just to render a simple 3D scene in the browser at a reasonable frame rate. It evolved into a small renderer that can: • Run locally or on the web using wgpu and WebAssembly • Perform mesh rendering with a Bounding Volume Hierarchy (BVH) for acceleration • Simulate both direct and indirect illumination for photorealistic results • Be…

    Nov 2025 · github.com

  11. 11

    Create beautiful moving gradients on Framer and Figma

    2023

  12. 121T
  13. 13IM
  14. 14G2

    Back in the old days, people used to do general-purpose GPU programming by using shaders like GLSL. This is what inspired NVIDIA (and other companies) to eventually create CUDA (and friends). This is an implementation of GPT-2 using WebGL and shaders. Enjoy!

    2025 · github.com

  15. 15
    DLSS 5180

    The GPT moment for real-time computer graphics

    Mar 2026 · nvidia.com

  16. 16SL

    Apr 2026 · eng.basement.studio

  17. 17
    EVOLVE22

    Gpu ray-tracing benchmark

    2025

  18. 18IV

    This is a GPU "software" raytracer (i.e. using manual ray-scene intersections and not RTX) written using the WebGPU API that renders glTF scenes. It supports many materials, textures, material & normal mapping, and heavily relies on multiple importance sampling to speed up convergence.

    2024 · github.com

  19. 191A

    We added a new feature to our open-source HTML5 game engine today that allows you to create Sprite GPU Layers. These pack together simple JS object definitions onto the GPU and renders them using a custom vertex shader. This skips all CPU computation and GPU upload operations, resulting in vastly increased performance. For objects that don't need to be updated by input, physics, or other interactive behaviors, we found it to be a great solution. In testing, we've easily managed to blast millions of sprites around on moderate desktop-grade GPUs. Indeed, we hit the fill rate limitation of the…

    2025 · phaser.io

  20. 20

    Generative art on the GPU

    2022

  21. 21UA

    The standard GPU utilization metric reported by nvidia-smi, nvtop, Weights & Biases, Amazon CloudWatch, Google Cloud Monitoring, and Azure Monitor is highly misleading. It reports the fraction of time that any kernel is running on the GPU, which means a GPU can report 100% utilization even if only a small portion of its compute capacity is actually being used. In practice, we've seen workloads with ~1–10% real compute throughput while dashboards show 100%. This becomes a problem when teams rely on that metric for capacity planning or optimization decisions, it can make underutilized systems…

    Apr 2026 · systalyze.com

  22. 22PS
  23. 23WP

    This is a small particles simulation that can run either with WebGPU (GPU Compute) or with the CPU, and it can be changed in real time

    2023 · github.com

  24. 24SO

    2020 · shadergraph.stelabouras.com

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